Abstract: A method is for providing a second artifact-reduced x-ray image dataset based on an artifact-affected x-ray image dataset of an examination object, the artifact being caused by an object at least one of on, outside of and within the examination object. In an embodiment, the method includes creating a first artifact-reduced x-ray image dataset based on the artifact-affected x-ray image dataset, based on which a second projection dataset is created; identifying an object area which maps the object in the at least one projection; creating a third projection dataset based on the first projection dataset; and crating the second artifact-reduced x-ray image dataset based on the third projection dataset, through which the second artifact-reduced x-ray image dataset is provided.

Abstract: One or more example embodiments provides a method for establishing compensation information to compensate for a bending of a couch of an object table, in particular patient table, of a computed tomography facility under the weight of an object to be recorded, in particular of a patient, wherein a target region image dataset of a target region of the examination object is recorded with the computed tomography facility at a recording position of the couch, wherein at least one marker visible in x-ray imaging is provided on or in the couch and a three-dimensional reference dataset of the marker is provided for a non-loaded couch, wherein the compensation information is established from a comparison between the reference dataset and the target region image dataset.

Abstract: A method for correction of an input dataset is disclosed. In an embodiment, the method includes acquisition of an input dataset comprising at least one data error; determination of a correction function; creation of a corrected output dataset by application of the correction function to the input dataset; and outputting of the corrected output dataset. The correction function is embodied to bring about a reduction of at least two data errors that mutually influence one another in the input dataset.

Abstract: A method for performing a CT imaging process based on an individual respiration behaviour of a patient, comprises: recording a respiratory movement of the patient by monitoring an intrinsic respiratory surrogate. In the context of recording the intrinsic respiratory surrogate, CT raw data are acquired from an examination volume of the patient, and 3D-CT images of subsequent stacks of the examination volume at different z-positions are reconstructed. An automatic organ segmentation is performed based on the reconstructed 3D-CT images of the subsequent stacks, wherein at least a portion of the examination volume is segmented. Furthermore, a respiratory movement of at least the portion of the examination volume is detected and determined as the intrinsic respiratory surrogate. The CT imaging process is then adapted based on the intrinsic respiratory surrogate of the patient.

Abstract: One or more example embodiments of the present invention relates in one aspect to a computer-implemented method for providing a configuration information for a laser guidance system for a medical intervention, comprising receiving laser projection data regarding a laser projection geometry of the laser guidance system; receiving 3D model data regarding a surface, the surface being located within an effective range of the laser guidance system; calculating shadowing data regarding a shadowing effect of the surface on the laser projection geometry based on the laser projection data and the 3D model data; selecting the configuration information based on the shadowing data, the configuration information being indicative of a configuration of the laser guidance system for visualizing a planned path of an instrument for the medical intervention; and providing the configuration information.

Abstract: A method of adaption of a medical computed tomography imaging process to an individual respiration behaviour of a patient comprises: recording a respiratory movement of a patient by monitoring a respiratory surrogate, and adapting the medical computed tomography imaging process based on the recorded respiratory movement of the patient. An adaption device and a medical computed tomography imaging system are also described.

Abstract: A method is for actuating a medical imaging device including a radiation source, embodied during a rotational movement around an axis of rotation to irradiate an irradiation region from a plurality of angular positions. In an embodiment, the method includes capturing an object position of a moving object relative to the irradiation region. The Method further includes actuating the medical imaging device based upon the captured object position of the moving object, such that the intensity of the radiation emitted by the radiation source for a first partial number of the plurality of angular positions in a first angular range round the axis of rotation is reduced relative to a second partial number of the plurality of angular positions in a second angular range around the axis of rotation, he captured object position being included in the first angular range.

Abstract: A method and a system are for calculating an output from a tomographic scrollable image stack, including a large number of generated sectional images of a tissue to be examined. In this context, a tomographic scrollable image stack is received. An output for a display is calculated. The output includes a primary image that is intended for representing the received image stack, and the output includes a secondary image with additional information. The secondary image is displayed overlaid on the primary image once an unhide signal or hide signal is received. In this context, a reference may be provided between the additional information of the secondary image and the slice of tissue for examination that is shown in the sectional image of the image stack.

Abstract: A method is for the reconstruction of an image data set from projection images of an examination object recorded at different projection directions with a computed tomography apparatus. In an embodiment, the method includes establishing an item of contour information describing a contour of at least one of the examination object and the additional object; enhancing projection data of the projection images via forward projection in regions in which at least one of the examination object and the additional object was not acquired; and reconstructing the image data set based upon the projection data enhanced. The examination object and the additional object are acquired from sensor data of at least one camera. Finally, an item of sensor information at least partially describing at least one of the is of the examination object and of the additional object being established and used for establishing the contour information.

Abstract: A method is for providing a second artifact-reduced x-ray image dataset based on an artifact-affected x-ray image dataset of an examination object, the artifact being caused by an object at least one of on, outside of and within the examination object. In an embodiment, the method includes creating a first artifact-reduced x-ray image dataset based on the artifact-affected x-ray image dataset, based on which a second projection dataset is created; identifying an object area which maps the object in the at least one projection; creating a third projection dataset based on the first projection dataset; and crating the second artifact-reduced x-ray image dataset based on the third projection dataset, through which the second artifact-reduced x-ray image dataset is provided.

Abstract: A method is used to calibrate a light unit, including at least one light source, the light unit being part of a medical imaging apparatus. In an embodiment, the method includes positioning a calibration phantom at a calibration position, in particular a first calibration position; arranging the light source so that its beam illuminates the photodetector at least partially; starting or continuing the recording of light intensities using the photodetector; modulating the signal of the light source at least once; rotating the light beam around a given rotation axis while recording the rotational position; synchronizing the time values of the rotational position of the light beam and the acquired signal intensities using the modulation of the light signal; and mapping the rotational position, in particular the rotation angle, of the light beam to a spatial position using the light intensities recorded by the photodetector.

Abstract: A method for correction of an input dataset is disclosed. In an embodiment, the method includes acquisition of an input dataset comprising at least one data error; determination of a correction function; creation of a corrected output dataset by application of the correction function to the input dataset; and outputting of the corrected output dataset. The correction function is embodied to bring about a reduction of at least two data errors that mutually influence one another in the input dataset.

Abstract: A method is used to calibrate a light unit, including at least one light source, the light unit being part of a medical imaging apparatus. In an embodiment, the method includes positioning a calibration phantom at a calibration position, in particular a first calibration position; arranging the light source so that its beam illuminates the photodetector at least partially; starting or continuing the recording of light intensities using the photodetector; modulating the signal of the light source at least once; rotating the light beam around a given rotation axis while recording the rotational position; synchronizing the time values of the rotational position of the light beam and the acquired signal intensities using the modulation of the light signal; and mapping the rotational position, in particular the rotation angle, of the light beam to a spatial position using the light intensities recorded by the photodetector.

Abstract: A method and a system are for calculating an output from a tomographic scrollable image stack, including a large number of generated sectional images of a tissue to be examined. In this context, a tomographic scrollable image stack is received. An output for a display is calculated. The output includes a primary image that is intended for representing the received image stack, and the output includes a secondary image with additional information. The secondary image is displayed overlaid on the primary image once an unhide signal or hide signal is received. In this context, a reference may be provided between the additional information of the secondary image and the slice of tissue for examination that is shown in the sectional image of the image stack.

Abstract: A method is for the reconstruction of an image data set from projection images of an examination object recorded at different projection directions with a computed tomography apparatus. In an embodiment, the method includes establishing an item of contour information describing a contour of at least one of the examination object and the additional object; enhancing projection data of the projection images via forward projection in regions in which at least one of the examination object and the additional object was not acquired; and reconstructing the image data set based upon the projection data enhanced. The examination object and the additional object are acquired from sensor data of at least one camera. Finally, an item of sensor information at least partially describing at least one of the is of the examination object and of the additional object being established and used for establishing the contour information.